NDLI: Proceedings of the 1st International Workshop on Future of Software Architecture Design Assistants (FoSADA '15)

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Assisting Software Designers to Identify and Solve Performance Problems

Design Assistant for NoSQL Technology Selection

Decision Buddy: Tool Support for Constraint-Based Design Decisions during System Evolution

Software Architecture Design Assistants Need Controlled Efficiency Experiments: Lessons Learned from a Survey

Proceedings of the 1st International Workshop on Future of Software Architecture Design Assistants (FoSADA '15)

Content Provider	ACM Digital Library
Editor	Koziolek, Anne Champagne, Roger Kruchten, Philippe
Copyright Year	2015
Abstract	It is our great pleasure and honor to welcome you to the very first International Workshop on the Future of Software Architecture Design Assistants -- FoSADA'15. The idea to hold this workshop was born in the summer of 2014. We have both performed past research in the general field of what we termed Software Architecture Design Assistants, and wish to understand where research in this field stands today, and what might be the path forward. Given the exploratory nature of the Workshop, we decided to aim for position papers. We got four submissions which were all accepted. Two of the papers are concerned with early architectural decisions: In the first paper, Davide Arcelli and Vittorio Cortellessa present a framework aimed at supporting automated feedback generation from software performance analysis results. In the second paper, John Klein and Ian Gorton describe their knowledge base that enables reasoning from quality attributes to architecture patterns and tactics to features implemented in NoSQL products. In the third paper, Sebastian Gerdes, Mohamed Soliman, and Matthias Riebisch consider system evolution and present a decision process focusing on the consideration of constraints in evolving systems. Finally, Sebastian Lehrig and Steffen Becker present a survey of how controlled experiments have been applied to evaluate software architecture design assistants and derive lessons learned in terms of best practices and challenges for such experiments. We look forward to interesting discussions of these papers and general issues at the workshop.
ISBN	9781450334389
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-05-06
Access Restriction	Subscribed
Content Type	Text
Resource Type	Conference Proceedings

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